WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Paper
•
2305.14292
•
Published
•
1
rag
-
-
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps
Paper • 2312.07796 • Published -
RAGAS: Automated Evaluation of Retrieval Augmented Generation
Paper • 2309.15217 • Published • 3 -
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Paper • 2210.02627 • Published -
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
Paper • 2311.07509 • Published • 2 -
Universal Knowledge Graph Embeddings
Paper • 2310.14899 • Published • 2 -
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Paper • 2112.01488 • Published • 1 -
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
Paper • 2004.12765 • Published -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
JaColBERT and Hard Negatives, Towards Better Japanese-First Embeddings for Retrieval: Early Technical Report
Paper • 2312.16144 • Published • 3 -
ChatQA: Building GPT-4 Level Conversational QA Models
Paper • 2401.10225 • Published • 33 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Paper • 2306.08302 • Published • 3 -
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
Paper • 2311.11315 • Published • 6 -
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
Paper • 2310.07713 • Published • 3 -
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
Paper • 2310.08319 • Published • 4 -
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Paper • 2308.10633 • Published • 1 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
Unsupervised Dense Information Retrieval with Contrastive Learning
Paper • 2112.09118 • Published • 1 -
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs
Paper • 2309.03118 • Published • 2 -
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Paper • 2305.18395 • Published • 1 -
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
Paper • 2212.09146 • Published • 3 -
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Paper • 2304.06762 • Published • 1 -
Long-range Language Modeling with Self-retrieval
Paper • 2306.13421 • Published • 16 -
GLIMMER: generalized late-interaction memory reranker
Paper • 2306.10231 • Published • 7 -
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Paper • 2308.13259 • Published • 2 -
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Paper • 2401.06201 • Published • 2 -
Corrective Retrieval Augmented Generation
Paper • 2401.15884 • Published • 3 -
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Paper • 2405.05904 • Published • 6 -
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
Paper • 2408.02545 • Published • 33 -
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
Paper • 2408.03615 • Published • 30